You can use factor models to identify all of your risks. I wrote up how to build a statistical factor model and ensure it is stable out of sample.
https://t.co/knt01Sfc1C
@lexdeblanca This made me think awhile.
Pre A.I. everything was written by humans, including the unimportant. Now, A.I. writes the unimportant. The click bait, the half arsed email and the textbook copying blog post.
We can now focus our scarce attention on the important.
@RadbroskiGadol Yes! If I think something is important I'll sweat over every word. I can tell an author didn't sweat over the words if it reads like A.I.
If you're curious about regime modelling (let's be honest why wouldn't you be?) I've just written up how to use mixture models to learn economic regimes from data.
https://t.co/akx9a7gSTK
Tail risk, measured and managed. I demystify CVaR and show how to put it to work with Python. Rolling estimates, sanity checks, and a CVaR-constrained portfolio:
https://t.co/OaUgOWKJRs
New post! Reconciliation tests for DataFrames (and a tiny library, recx). Stop silent P&L drift by comparing baseline vs candidate outputs.
https://t.co/HbIJsIHCha
I've been a bit behind on the latest and greatest in Python tooling. But no more! All projects upgraded. You can read up here and do the same.
https://t.co/q85R5zFeYn